Hyades
Category: AI Infrastructure
Spatial AI research lab building an end-to-end platform that fuses satellite, drone, radar, and historical geospatial data into machine-learning-ready risk models for insurance, agriculture, mining, and climate science. Hyades was founded in 2024. The company is led by Ashin Alex. Based in Auckland, New Zealand. Team size: 2-10. Total funding raised: $950K. Latest round: Pre-Seed. Key investors include Icehouse Ventures, K1W1 (Sir Stephen Tindall), Tony Falkenstein, Tim Brown (Allbirds co-founder).
- Founded
- 2024
- Headquarters
- Auckland, New Zealand
- Team size
- 2-10
- Total funding
- $950K
Value proposition
Converts messy, multi-source geospatial data (satellite, drone, radar, historical records) into a single ML-ready format, reducing months of manual data stitching to days, with models that auto-update as conditions change.
Products and solutions
BlazerOps (spatial ML platform for building, evaluating, and deploying geospatial AI models), HyperPrism (foundational models for hyperspectral intelligence)
Unique value
Geospatial-native MLOps platform that enables enterprise teams to build, evaluate, and deploy spatial AI models up to 25x faster by automating data fusion, architecture selection, and model deployment across incompatible data formats.
Target customer
Insurance companies (flood/cyclone/wildfire risk modeling); agriculture/agritech companies (hyperspectral crop analysis); mining; climate science; defense
Industries served
Insurance, Agriculture, Mining, Climate Science, Defense
Technology advantage
Cross-contextual learning AI that incorporates environmental covariables (weather, soil moisture, topography) to interpret spectral signatures; autonomous spatial agents that recursively build optimal ML models; NVIDIA Inception program member; supports BYOK for major LLM providers (Anthropic, OpenAI, Google, DeepSeek)
How they differentiate
Unlike competitors that focus on specific verticals or data types, Hyades provides a horizontal MLOps platform (BlazerOps) that fuses any geospatial data source into a unified ML-ready format, with autonomous AI agents that recursively optimize model architectures — reducing model development time by up to 25x.
Main competitors
ZestyAI, Descartes Labs, Orbital Insight
Key partnerships
NVIDIA Inception program, Sprout Agritech Accelerator (Spring25 cohort), major US geospatial/AI player as development partner (undisclosed)
Major milestones
Founded 2024 by University of Auckland graduates, joined Sprout Agritech Accelerator Spring25 cohort (2025), joined NVIDIA Inception program (2026), launched BlazerOps platform alpha (2026), raised NZ$1.5M pre-seed + government grant (July 2026)
Market positioning
Early-stage spatial AI startup competing in the geospatial risk modeling and hyperspectral intelligence space, differentiated by its automated data fusion and ML pipeline platform (BlazerOps) that collapses months of manual work into days, targeting insurance, agriculture, and climate science verticals.
Geographic focus
New Zealand (home market); Australia; United States (via undisclosed US development partner)
About Ashin Alex
Ex-Quantified Photonics (physics startup); University of Auckland graduate in applied physics; built ground-based optical receiver to capture/decode signals from optical communications satellites
Latest news about Hyades
More AI Infrastructure companies
Official website: https://hyades.space